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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast
|
---|---|
Chapter number | 18 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published in |
arXiv, October 2020
|
DOI | 10.1007/978-3-030-59728-3_18 |
Book ISBNs |
978-3-03-059727-6, 978-3-03-059728-3
|
Authors |
Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias, Eleanor Robinson, Billot, Benjamin, Robinson, Eleanor, Dalca, Adrian V., Iglesias, Juan Eugenio |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 44% |
Japan | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 1 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 23% |
Student > Ph. D. Student | 7 | 16% |
Student > Master | 4 | 9% |
Other | 3 | 7% |
Student > Bachelor | 1 | 2% |
Other | 4 | 9% |
Unknown | 14 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 33% |
Engineering | 6 | 14% |
Physics and Astronomy | 2 | 5% |
Neuroscience | 2 | 5% |
Unspecified | 1 | 2% |
Other | 1 | 2% |
Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2021.
All research outputs
#6,193,649
of 23,203,401 outputs
Outputs from arXiv
#129,729
of 955,212 outputs
Outputs of similar age
#134,922
of 412,948 outputs
Outputs of similar age from arXiv
#4,171
of 34,024 outputs
Altmetric has tracked 23,203,401 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 955,212 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 412,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 34,024 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.